Development of sustainable water infrastructure: A proper understanding of water pipe failure

R Taiwo, IA Shaban, T Zayed - Journal of Cleaner Production, 2023 - Elsevier
The need for sustainable water infrastructure systems continues to grow as clean water is
essential for daily life. Despite efforts to sustain water distribution networks (WDNs), they …

Pipeline in-line inspection method, instrumentation and data management

Q Ma, G Tian, Y Zeng, R Li, H Song, Z Wang, B Gao… - Sensors, 2021 - mdpi.com
Pipelines play an important role in the national/international transportation of natural gas,
petroleum products, and other energy resources. Pipelines are set up in different …

[HTML][HTML] Construction and maintenance of urban underground infrastructure with digital technologies

M Wang, X Yin - Automation in construction, 2022 - Elsevier
Urban underground infrastructure is a critical component in cities to provide essential
services to residents. Research efforts have been made to facilitate different activities of …

Evaluating risk of water mains failure using a Bayesian belief network model

G Kabir, S Tesfamariam, A Francisque… - European Journal of …, 2015 - Elsevier
It has been reported that since year 2000, there have been an average 700 water main
breaks per day only in Canada and the USA costing more than CAD 10 billions/year …

Artificial neural network models for predicting condition of offshore oil and gas pipelines

MS El-Abbasy, A Senouci, T Zayed, F Mirahadi… - Automation in …, 2014 - Elsevier
Pipelines daily transport and distribute huge amounts of oil and gas across the world. They
are considered the safest method of transporting oil and gas because of their limited number …

Extreme learning machine model for water network management

AMA Sattar, ÖF Ertuğrul, B Gharabaghi… - Neural Computing and …, 2019 - Springer
A novel failure rate prediction model is developed by the extreme learning machine (ELM) to
provide key information needed for optimum ongoing maintenance/rehabilitation of a water …

Artificial intelligence for the modeling of water pipes deterioration mechanisms

T Dawood, E Elwakil, HM Novoa… - Automation in Construction, 2020 - Elsevier
Water pipes deterioration modeling has been a prevalent research topic in the last two
decades due to high water break incidents and contamination rates. Failure processes are …

Artificial neural networks applications in construction and building engineering (1991–2021): science map** and visualization

M Marzouk, A Elhakeem, K Adel - Applied Soft Computing, 2024 - Elsevier
Artificial neural network (ANN) has acquired noticeable interest from the research
community to handle complex problems in Construction and Building engineering (CB). This …

Infrastructure condition prediction models for sustainable sewer pipelines

F Chughtai, T Zayed - Journal of Performance of Constructed …, 2008 - ascelibrary.org
The Federation of Canadian Municipalities reported that approximately 55% of sewer
infrastructure in Canada did not meet current standards. Therefore, the burden on Canadian …

Infrastructure management: Integrated AHP/ANN model to evaluate municipal water mains' performance

H Al-Barqawi, T Zayed - Journal of Infrastructure Systems, 2008 - ascelibrary.org
Canadian municipalities have noted that 59% of their water systems needed repair and the
status of 43% of these systems is unacceptable. In the United States, ASCE assigned a near …